VIT

Analytics

vivekraj-image

Dr. Vivek Raj S N

Assistant Professor

vivekraj.s@vit.ac.in

Analytics

Dr Vivek Raj S N is an expert in the field of analytics, is in the Top 5 % of 1.6 M People who took Machine Learning Skill assessment in LinkedIn and has worked in both business and academic settings. He has completed numerous professional certificates throughout his stellar career because he believes in lifelong learning. He is a National Level Topper in six courses offered by several IITs on the NPTEL platform and has won numerous prizes and accolades from various organizations. During his undergraduate studies, he received awards for being the best student in the co-curricular category and being an all-rounder. Additionally, he has published and presented in reputable journals and conferences. He has given several lectures and workshops on cutting-edge tools and technology for business analytics. He was given the best faculty and project guide awards for the years 2021- 22 and 2022 – 23 consecutively during his previous employment tenure .

Undergraduate

B.E - COMPUTER SCIENCE AND ENGINEERING - ANNA UNIVERSITY- 2009

Postgraduate

MBA- INFORMATION SYSTEMS -ANNA UNIVERSITY -2012

Ph.D

PhD(Management)-Machine Learning Modelling - 2023- SRM INSTITUTE OF SCIENCE AND TECHNOLOGY

Machine Learning , Technology Adoption , Circular Economy , Text Mining , Blended Learning

1. Secured All India Rank No.1 in Introduction to Learning Analytics course conducted by NPTEL & IIT Bombay from August to September 2019.

2. Secured All India Rank No.1 & Gold category certification in Systems Engineering and Design course conducted by NPTEL & IIT Kanpur from Feb-March 2018.

3. Top 1 percentile in “Business Analytics for Management decision” course conducted by NPTEL & IIT Kharagpur from Jan-April 2018.

4. Topper in the Course, “Business analytics and Data Mining Modeling using R -PART II” conducted by NPTEL & IIT Roorke from September – October 2020.

5. Topper and Gold Category Certification in, “Business analytics and Data Mining Modeling using ” conducted by NPTEL and IIT Roorke From January – April 2020.

6. Secured ‘Best outgoing’ student award in co-curricular achievements category and ‘All-rounder’ award for extraordinary performances in curricular and co-curricular activities during undergraduate.

7. Top 5 percentile in the Marketing Research and Analysis course conducted by IIT Roorkee from August 2023 to October 2023

8. Recipient of Best Faculty Award for two consecutive years 2021 and 2022 from Kumaraguru College of Technology

  • Theerthaana, P. and Vivek Raj, S.N. ‘An investigation on adoption of AI-enabled e-waste recycling kiosks in the post-pandemic era’, Electronic Government, Inderscience Publications (in Print) Shri, R. M., & Raj, S. N. V. (2023). Machine Learning Models for Predicting Customer Willingness to Buy Electric Vehicles. In V. K. Asari, V. Singh, R. Rajasekaran, & R. B. Patel (Eds.), Computational Methods and Data Engineering (Vol. 139, pp. 413–424). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-3015-7_30
  • Vivek Raj, S.N., & Manivannan, S.K., “Machine Learning Models to predict Covid-19 Vaccination Intention: An Indian Study. International Journal of Professional Business Review,”7(6), pp. 1-16.2022, https://doi.org/10.26668/businessreview/2022.v7i6.e977
  • Vivek Raj, S.N., & Manivannan,S.K., “Modelling A Machine Learning Classifier For Predicting Student’s Entrepreneurial Intentions,” Indian Journal of Computer Science and Engineering,12(3),pp.598-604,2021, https://doi.org/10.21817/indjcse/2021/v12i3/211203087.
  • Sobika, K. A., & Vivek Raj, S.N (2021). A Study on Predicting Customer Willingness to Order Food Online During Covid-19 Pandemic Using Machine Learning Algorithms. 2021 4th International Conference on Computing and Communications Technologies (ICCCT), 236–241. doi: 10.1109/ICCCT53315.2021.9711904.
  • Tharani, S. M., & Vivek Raj, S.N (2020). Predicting employee turnover intention in IT&ITeS industry using machine learning algorithms. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 508–513. doi: 10.1109/I-SMAC49090.2020.9243552.

© Vellore Institute of Technology | Privacy Policy

Designed by Centre for Technical Support